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Learn About Statistical Analysis For Marketing Research

We've grouped together all the information our site contains on Statistical Analysis to help you quickly and easily find related articles, companies, events, jobs, associations, glossary definitions and more.

Related Articles

There are 52 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

Data Use: Bayes nets: Understanding the best newest thing - Part I
In the first of a two-part series, Steven Struhl explains what Bayes nets are and why researchers should care about them.
Six questions to ask your supplier about multivariate analysis
The author presents six questions that consumers should ask suppliers of multivariate analysis. Issues addressed include the cleaning and handling of data, the program and process for analyzing the data, the presentation of the final project, and the potential for repeat analyses.
What can text analytics teach us?
A look at some commonly-used text analytics methods and how companies can apply them to the many forms of customer feedback.
Data Use: 'No preference' in paired-preference testing
In simple paired comparison tests, the authors argue that the trinomial approach is fundamentally correct.
Data Use: Mapping the future
This article describes the use of correspondence analysis to predict the impact of various marketing strategies on their brand's competitive position. In contrast to other types of perceptual mapping, correspondence analysis summarizes nominal data rather than metric data.

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Recent Articles

Below are the 5 most recent articles on this topic. These articles were published within the last three years and are only available to registered subscribers.

Satisfying stats: How numbers helped a diner optimize its menu
This article addresses the changing role of statistics in marketing research and uses menu optimization for the fictional Johnny's American Diner to demonstrate how numbers can tell an engaging and actionable story.
Analyzing a pharmaceutical product’s key drivers
The author explores the use of principal component analysis to examine wave-to-wave changes in a tracking study.
By the Numbers: The top five mistakes in marketing statistics
From asking too many questions to falling for the latest technique, here is a statistician’s take on marketers’ common statistics-related mistakes.
Modeling the drivers of Net Promoter Score
How driver analysis can help you determine which controllable factors have an effect on NPS and how much of an impact they have.
Data Use: Toward a more optimized kind of revenue optimization
The author reviews traditional applications of revenue optimization and offers an improved method that uses a multivariate approach.

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